Method and System for Delivering Content Over Transient Access Networks

ABSTRACT

An end user premises device is provided that includes a memory, one or more transceivers, and one or more processors. The one or more transceivers are configured to communicate with one or more stations in a network and a client device. The one or more processors are configured to receive a first user request for data from the client device using the one or more transceivers, determine a first point in time for retrieving the data based on an amount of charge in batteries of the one or more stations in the network, retrieve, at the first point in time, the data from a remote server via the network using the one or more transceivers, store the data in the memory, and in response to a second user request, transmit the data to the client device using the one or more transceivers.

CROSS REFERENCE TO RELATED APPLICATIONS

The present application is a continuation of U.S. patent applicationSer. No. 15/647,811, filed Jul. 12, 2017, the disclosure of which isincorporated herein by reference.

BACKGROUND

The relatively high $/GB cost of mobile data plans prevents users fromusing their mobile (2G, 3G, or 4G) service to consume rich content likevideo. And often, users in emerging markets do not have affordableoptions to purchase uncapped, fixed-broadband (DSL, Cable, etc.)service.

BRIEF SUMMARY

Aspects of the disclosure provide for an end user premises device. Theend user premises device includes a memory, one or more transceivers,and one or more processors. The one or more transceivers are configuredto communicate with one or more stations in a network and a clientdevice. The one or more processors are configured to receive a firstuser request for data from the client device using the one or moretransceivers and determine a first point in time for retrieving thedata. The first point in time may be during off-peak hours and before asecond point in time that the client device is likely to access thedata. The one or more processors are configured to retrieve, at thefirst point in time, the data via the network using the one or moretransceivers and store the data in the memory. In response to a seconduser request, the one or more processors may be configured to transmitthe data to the client device using the one or more transceivers.

In one embodiment, the one or more processors are also configured topredict additional data that is likely to be accessed by the clientdevice at a third point in time, retrieve, at a fourth point in timebefore the third point in time, the additional data using the one ormore transceivers, store the additional data in the memory, and inresponse to a third user request, transmit the additional data to theclient device using the one or more transceivers. In another embodiment,the one or more processors are also configured to determine the firstpoint in time based on a topology of the network. In this example, theone or more processors are configured to determine the first point intime by determining one or more routing paths available during theoff-peak hours and one or more points in time associated with the one ormore routing paths and selecting the first point in time from the one ormore points in time associated with the one or more routing paths. Inthis example, the one or more routing paths is determined based on thetopology of the network

The one or more processors are configured to determine the first pointin time based on an amount of charge in batteries of the one or morestations. In a further embodiment, the one or more processors are alsoconfigured to determine the second point in time based on an access timeincluded in the first user request. Optionally, the one or moreprocessors are configured to determine the second point in time based onan activity history at the client device. The one or more processors areadditionally or alternatively configured to determine that the seconduser request includes a request for the data stored in the memory.

Other aspects of the disclosure provide for a network. The networkincludes an end user premises device that includes a memory, one or moretransceivers configured to communicate with one or more stations in thenetwork and a client device, and one or more processors. The one or moreprocessors are configured to receive a first user request for data fromthe client device using the one or more transceivers and determine afirst point in time for retrieving the data. The first point in time isduring off-peak hours and before a second point in time that the clientdevice is likely to access the data. The one or more processors are alsoconfigured to retrieve, at the first point in time, the data via thenetwork using the one or more transceivers and store the data in thememory. In response to a second user request, the one or more processorsare configured to transmit the data to the client device using the oneor more transceivers.

In one embodiment, the one or more processors are also configured topredict additional data that is likely to be accessed by the clientdevice at a third point in time and retrieve, at a fourth point in timebefore the third point in time, the additional data using the one ormore transceivers. The one or more processors in this example are alsoconfigured to store the additional data in the memory and, in responseto a third user request, transmit the additional data to the clientdevice using the one or more transceivers. In another embodiment, theone or more processors are also configured to determine the first pointin time based on a topology of the network. The one or more processorsin this example are further configured to determine the first point intime by determining one or more routing paths available during theoff-peak hours and one or more points in time associated with the one ormore routing paths, the one or more routing paths being determined basedon the topology of the network, and selecting the first point in timefrom the one or more points in time associated with the one or morerouting paths.

The one or more processors are optionally configured to determine thefirst point in time based on an amount of charge in batteries of the oneor more stations. In a further embodiment, the one or more processorsare also configured to determine the second point in time based on anaccess time included in the first user request. Optionally, the one ormore processors are configured to determine the second point in timebased on an activity history at the client device. The one or moreprocessors are additionally or alternatively configured to determinethat the second user request includes a request for the data stored inthe memory. In yet another embodiment, the network includes a second enduser premises device and the one or more stations. The one or morestations in this embodiment are capable of broadcasting the data to theend user premises device and the second end user premises device.

Further aspects of the disclosure provide for a method. The methodincludes receiving, by one or more processors at an end user premisesdevice, a first user request for data from a client device; determining,by the one or more processors, a first point in time for retrieving thedata, the first point in time being during off-peak hours and before asecond point in time that the client device is likely to access thedata; retrieving, by the one or more processors, the data from a remoteserver at the first point in time; storing, by the one or moreprocessors, the data in a memory of the end user premises device; and inresponse to a second user request, transmitting, by the one or moreprocessors, the data to the client device.

In another embodiment, the method also includes predicting, by the oneor more processors, additional data that is likely to be accessed by theclient device at a third point in time; retrieving, by the one or moreprocessors, the additional data at a fourth point in time before thethird point in time; storing, by the one or more processors, theadditional data in the memory of the end user premises device; and inresponse to a third user request, transmitting, by the one or moreprocessors, the additional data to the client device. Additionally oralternatively, the first point in time is determined by determining oneor more routing paths available through a network during the off-peakhours and one or more points in time associated with the one or morerouting paths, and selecting the first point in time from the one ormore points in time associated with the one or more routing paths.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 shows a pictorial diagram of a network 100 in accordance withaspects of the disclosure.

FIG. 2 shows a functional diagram of a routing path 200 through thenetwork 100 in accordance with aspects of the disclosure.

FIG. 3 shows a functional diagram of a central control system 300 inaccordance with aspects of the disclosure.

FIG. 4 shows a flow diagram 400 of a method performable by an end userpremises device in accordance with aspects of the disclosure.

FIG. 5 shows a flow diagram 500 of an additional method performable byan end user premises device in accordance with aspects of thedisclosure.

FIG. 6 shows a flow diagram 600 of a method performable by a centralcontrol system in accordance with aspects of the disclosure.

DETAILED DESCRIPTION Overview

The technology is related to performing Delay Tolerant Network (DTN)protocol or micro-caching of content in a transient access network. Thenetwork may comprise non-geostationary satellites or high-altitudeplatforms and may be a temporospatial software-defined network. Thenetwork may include a plurality of network nodes and at least one enduser premises device in communication with one or more client devices.The device may include a memory, an antenna configured to communicatewith one or more network nodes, and one or more processors.

The end user premises device may be configured to perform DTN protocolor some other store-and-forward protocol. In such cases, the one or moreprocessors may be configured to receive a user request for data andschedule retrieval of the requested data at a first point in time thatis before a second point in time during which the user is likely toaccess the data. The second point in time may optionally be identifiedby or included in the user request. The first point in time may bechosen by the one or more processors to be (1) during off-peak hours and(2) before the second point in time. Once retrieved according to thescheduled time, the data may be stored in local memory of the end userpremises device.

Alternatively or additionally, the end user premises device may beconfigured to perform micro-caching. For instance, the one or moreprocessors may be configured to determine what data would likely berequested by a user or a plurality of users from a given area. Beforereceiving a request from the user or one of the plurality of users, theone or more processors may request the data using the network, receivethe data from the network, and store the data in local memory of the enduser premises device. The receipt of the data may be timed to occurduring off-peak hours and before a time when the user or one of theplurality of users is likely to request the data, or a future accesstime.

The end user premises device may be configured to transmit the storeddata to one or more client devices upon receipt of a request by the oneor more client devices to access the data stored at the end userpremises device. The data may be transmitted via 2G, LTE, Wi-Fi, or anyother signal receivable by the one or more client devices.

Example Systems

A network may include nodes at various land and air-based stations, asshown in FIG. 1. For instance, network 100 may include a plurality ofnodes such as one or more client devices 110, one or more end userpremises devices 120, one or more stations 130, 150, 160, 170, and oneor more servers 180. The stations may include ground stations and/or HAPstations. HAP stations may include blimps, such as station 130,satellites, such as station 150, airplanes, such as station 160, andballoons, such as station 170. Each station may be configured for FSOC,radio frequency communication, Long-Term Evolution (LTE) or othercommunication methods and protocols. Arrows shown between a pair ofstations represent possible communication links between pairs ofstations, such as, for example, optical links for free-space opticalcommunications. End user premises devices 120 may be associated withclient device 110, and may be capable of communicating with clientdevice 110 and stations 130, 150, 160, 170.

It should be understood that the network 100 as shown in FIG. 1 isillustrative only, and in some implementations, the network 100 mayinclude additional or different stations. For example, in someimplementations, the network 100 may include additional client devices,end user premises devices, stations, and servers. In someimplementations, the network 100 may serve as an access network forclient devices such as cellular phones, laptop computers, desktopcomputers, wearable devices, or tablet computers. The network 100 alsomay be connected to a larger network, such as the Internet, and may beconfigured to provide a client device with access to resources stored onor provided through the larger network.

As shown in FIG. 2, each node of the network 100 may comprise one ormore processors, a memory, and one or more transceivers. Together, thesenodes may form a routing path 200 through the network 100. In FIG. 2,only five nodes of network 100 are depicted for simplicity and ease ofunderstanding. Arrows in FIG. 2 represent a communication link that maybe formed between the depicted nodes.

A client device, such as client device 110, may be a personal computingdevices or a server with a processor, memory, data, and instructions.Personal computing devices may include a personal computer that has allof the components normally used in connection with a personal computersuch as a central processing unit (CPU), memory (e.g., RAM and internalhard drives) storing data and instructions, an electronic display (e.g.,a monitor having a screen, a small LCD touch-screen, a projector, atelevision, or any other electrical device that is operable to displayinformation), user input (e.g., a mouse, keyboard, touch-screen ormicrophone), camera, speakers, a network interface device, and all ofthe components used for connecting these elements to one another.Personal computing devices may also include mobile devices such as PDAs,cellular phones, and the like. Indeed, client devices in accordance withthe systems and methods described herein may comprise any device capableof processing instructions and transmitting data to and from humans andother computers including general purpose computers, network computerslacking local storage capability, and set-top boxes for televisions.

In particular, the client device 110 may comprise one or more processors210, memory 212, and one or more transceivers 218. The one or moreprocessors 210 may be any conventional processors, such as commerciallyavailable CPUs. Alternatively, the one or more processors may be adedicated device such as an application specific integrated circuit(ASIC) or other hardware-based processor, such as a field programmablegate array (FPGA). Although FIG. 2 functionally illustrates the one ormore processors 210 and memory 212 as being within the same block, itwill be understood that the one or more processors 210 and memory 212may actually comprise multiple processors and memories that may or maynot be stored within the same physical housing. Accordingly, referencesto a processor or computer will be understood to include references to acollection of processors or computers or memories that may or may notoperate in parallel.

Memory 212 stores information accessible by the one or more processors210, including data 214 and instructions 216 that may be executed by theone or more processors 210. The memory may be of any type capable ofstoring information accessible by the processor, including acomputer-readable medium such as a hard-drive, memory card, ROM, RAM,DVD or other optical disks, as well as other write-capable and read-onlymemories. The system and method may include different combinations ofthe foregoing, whereby different portions of the instructions and dataare stored on different types of media.

Data 214 may be retrieved, stored or modified by the one or moreprocessors 210 in accordance with the instructions 216. For instance,although the system and method is not limited by any particular datastructure, the data 214 may be stored in computer registers, in arelational database as a table having a plurality of different fieldsand records, XML documents or flat files. The data 214 may also beformatted in any computer-readable format such as, but not limited to,binary values or Unicode. By further way of example only, image data maybe stored as bitmaps comprised of grids of pixels that are stored inaccordance with formats that are compressed or uncompressed, lossless(e.g., BMP) or lossy (e.g., JPEG), and bitmap or vector-based (e.g.,SVG), as well as computer instructions for drawing graphics. The data214 may comprise any information sufficient to identify the relevantinformation, such as numbers, descriptive text, proprietary codes,references to data stored in other areas of the same memory or differentmemories (including other network locations) or information that is usedby a function to calculate the relevant data.

Instructions 216 may be any set of instructions to be executed directly(such as machine code) or indirectly (such as scripts) by the one ormore processors 210. For example, the instructions 216 may be stored ascomputer code on the computer-readable medium. In that regard, the terms“instructions” and “programs” may be used interchangeably herein. Theinstructions 216 may be stored in object code format for directprocessing by the one or more processors 210, or in any other computerlanguage including scripts or collections of independent source codemodules that are interpreted on demand or compiled in advance.

The one or more transceivers 218 may be one or more wirelesstransceivers associated with a cellular or other mobile network, such aseNodeB base stations or other wireless access points, such as WiMAX orUMTS access points. The one or more transceivers 218 may be configuredto create one or more links between client device 110 and one or morestations of the network 100, such as station 130. Additionally, the oneor more transceivers 218 may also include transceivers configured tocreate a link, via wire or wirelessly, between client device 110 and enduser premises device 120.

End user premises device 120 may comprise one or more processors 220,memory 222, and one or more transceivers 228. The one or more processors220 may be any well-known processor or a dedicated controller similar tothe one or more processors 210 described above. Memory 222 may storeinformation accessible by the one or more processors 220, including data224 and instructions 226 that may be executed by processor 220. Memory222, data 224, and instructions 226 may be configured similarly tomemory 212, data 214, and instructions 216 described above. Inparticular, memory 222 may be a local memory configured to store dataretrieved over a network, such as network 100, from a remote server,such as server 180, for later access by the client device 110.Instructions 216 may include instructions to process user requests andretrieve data based on the user requests, as described in further detailbelow. The one or more transceivers 228 may be one or more wirelesstransceivers configured similarly to the one or more transceivers 218described above to communicate with one or more stations of the network100. In addition, the one or more transceivers 228 may also includetransceivers configured to communicate via wire or wirelessly with aclient device 110.

Referring to station 130 as a reference, each of the stations 130, 150,160, 170 of network 100 may include one or more processors 230, memory232, and one or more transceivers 238 as discussed further below.Although the following description relates to the features of station130, each of the stations of the network 100, regardless of whether landor air-based, may have the same or similar configurations of features.

The one or more processors 230 may be any well-known processor or adedicated controller similar to the one or more processors 210 describedabove. Memory 232 may store information accessible by the one or moreprocessors 230, including data 234 and instructions 236 that may beexecuted by processor 230. Memory 232, data 234, and instructions 236may be configured similarly to memory 212, data 214, and instructions216 described above. In particular, data 234 stored in memory 232 mayinclude a routing table that indicates one or more next hops fromstation 130, and instructions 236 may include instructions to establishone or more links based on the routing table. The routing table may beupdated or may include a schedule based on the accessibility of eachnode in network 100.

The one or more transceivers 238 may be one or more wirelesstransceivers configured similarly to the one or more transceivers 218described above to communicate with other stations of the network 100.In some implementations, the one or more transceivers 238 may includefree-space optical transceivers configured to form optical links withother stations in the network 100 that also have free-space opticaltransceivers. Together, stations 130, 150, 160, 170 may form all or partof a wireless access network. Station 130 may also be connected toserver 180, for example, via backbone network links or transit networksoperated by third parties. The server 180 may be one or more serversoperating independently or collectively as a server farm in adatacenter. The server 180 may include applications that are accessed byremote users as well as systems that monitor or control the componentsof the network 100. Station 130 may provide wireless access for theusers, and may route user requests to the server 180 and returnresponses to the users via the backbone network links. The one or moretransceivers 238 may also be configured to create one or more linksbetween station 130 and another node in the network. In addition, theone or more transceivers 238 may also include transceivers configured tocommunicate with end user premises device 120 and server 180.

For HAP stations, such as station 130, a solar panel and a batteryconfigured to be charged using the solar panel may be included.Depending on the height and location of a given HAP station as well asthe weather near the given HAP station, the solar panels of the givenHAP station may be exposed to sunlight for a few hours during a singleday or for the whole day. When the solar panels are exposed to thesunlight, the given HAP station may be able to operate while the givenHAP station is simultaneously or near simultaneously being charged.Performing operations when the solar panels are not exposed to thesunlight would use the charge stored in the battery and, given enoughoperations over time, may deplete the charge stored in the battery.

Server 180 may include one or more processors 240, a memory, 242, andone or more transceivers 248. The one or more processors 240 may be anywell-known processor or a dedicated controller similar to the one ormore processors 210 described above. Memory 242 may store informationaccessible by the one or more processors 240, including data 244 andinstructions 246 that may be executed by processor 240. Memory 242, data244, and instructions 246 may be configured similarly to memory 212,data 214, and instructions 216 described above. The one or moretransceivers 248 may be one or more wireless transceivers configuredsimilarly to the one or more transceivers 218 described above tocommunicate with one or more stations of the network 100.

As shown in FIG. 3, some embodiments may include a central controlsystem 300 in communication with the network 100. The central controlsystem 300 may include one or more processors 310, a memory 320, and oneor more transceivers 340. The one or more processors 310 may be anywell-known processor or a dedicated controller similar to the one ormore processors 210 described above. Memory 320 may store informationaccessible by the one or more processors 310, including data 322 andinstructions 324 that may be executed by processor 310. In particular,the data 322 stored in memory 320 may include a routing table fornetwork 100 including indications of the availability of nodes and linksover time. Memory 320, data 322, and instructions 324 may be configuredsimilarly to memory 212, data 214, and instructions 216 described above.The one or more transceivers 340 may be one or more wirelesstransceivers configured similarly to the one or more transceivers 218described above to communicate with nodes of the network 100.

Example Methods

In FIGS. 4-6, flow diagrams 400, 500, 600 is shown in accordance withsome of the aspects described above that may be performed by the one ormore processors 220 of the end user premises device 120 or the one ormore processors 310 of the central control system 300. While FIGS. 4-6shows blocks in a particular order, the order may be varied and thatmultiple operations may be performed simultaneously. Also, operationsmay be added or omitted.

FIG. 4 shows a flow diagram 400 that may be performed at the end userpremises device 120. At block 402, the one or more processors 220 mayreceive a first user request for data. The first user request may besent from the one or more transceivers 218 of the client device 110 oranother client device to the one or more transceivers 228 of the enduser premises device 120. The first user request may identify data to beretrieved, such as, for example, a webpage, a document, or a video. Datamay be identified using a destination address, such as, for example, aURL or other locating means. In the example shown in FIG. 2, the datamay be a video file, and the destination address may indicate a locationin the memory 242 of server 180.

In some implementations, the first user request may be sent in responseto user input received at the client device 110, such as, for example,clicking on a link or image. In some instances, the first user requestmay also identify a future access time by which the user would like thecontent to be retrieved.

At block 404, the one or more processors 220 may determine a first pointin time for retrieving the data. In some cases, the first point in timemay be a range of times. The first point in time may be selected fromdesignated off-peak hours when traffic is likely below a thresholdamount. In some areas, off-peak hours may be during, for example,workday hours (e.g., 9 am-5 pm) or sleep hours (e.g., 11 pm-7 am). Thefirst point in time may also be selected to be a time that is before asecond point in time that the client device 110 is likely to access thedata. The second point in time may be determined based on the futureaccess time provided by the user, if any, and/or based on an activityhistory of the user at the client device 110. For example, the activityhistory of the user may indicate that a given user regularly accessesvideos after 7 pm. The second point in time may therefore be 7 pm, inwhich case the first point in time may be any time before then, such as,for example, 4:30 pm.

For a temporospatial network, such as the network 100 described above,determining the first point in time may also take into account atopology of the network and available paths in the network at aparticular time or time frame. The first point in time may therefore beselected based on when the one or more processors 220 is able toestablish a link with at least one station in the network 100, such asstation 130 and when one or more processors having access to thedestination address, such as the one or more processors 240 of server180, is able to establish a link with at least one station in thenetwork.

Referring back to the example in FIG. 2, one or more routing pathsbetween the end user premises device 120 and the destination address atserver 180 may be determined based on the topology of the network at acurrent time or predicted for a future time. A particular routing pathmay be determined to go from the end user premises device 120 to station130, station 170, and server 180, and vice versa. It may be determinedthat the one or more routing paths exist at one or more times within theoff-peak hours. Returning to the example, the one or more processors 220may determine that the particular routing path is available between 4:45pm and 5 pm. The first point in time may therefore be determined to be4:45 pm.

The first point in time may further be determined based on an amount ofcharge in batteries of one or more of the nodes in the network 100. Whenthe network includes stations with limited power supply, such as, forexample, solar-powered HAP stations, the first point in time may bechosen to be during time frames when the device's battery levels arehigher. In the case of solar-powered stations, when the amount of chargedrops below a threshold amount, energy may need to be conserved untilthe battery can be charged. The station may not be able to perform allnetwork operations when in energy conservation mode. Therefore, thefirst point in time may be determined to be a time when stations in therouting path have charge above the threshold amount.

In some embodiments, the one or more processors 310 of central controlsystem 300 may determine components related to the first point in time,such as, for example, the one or more routing paths, and/or the amountof charge in the batteries of one or more of the nodes in the network100. The one or more processors 310 may then transmit the determinedcomponents to the one or more processors 220 of the end user premisesdevice 120 for further processing. In alternative embodiments, the oneor more processors 310 may determine the first point in time andtransmit the first point in time to the one or more processors 220 ofthe end user premises device 120.

At block 406, the one or more processors 220 may retrieve, at the firstpoint in time, the data via the network 100. Any known methods ofretrieval may be used by the one or more processors 220 to retrieve thedata via the network 100. At block 408, the one or more processors 220may store the data in the memory 222 of the end user premises device120. For the example in FIG. 2, the video file may be retrieved frommemory 242 of server 180 at 4:45 pm, and may be stored at the memory222.

At block 410, the one or more processors 220 may transmit the data tothe client device 110 in response to a second user request. The seconduser request may be received from the client device 110 and may causethe one or more processors 220 of the end user premises device 120 toaccess the memory 222 and send the requested data to the client device110.

FIG. 5 shows a flow diagram 500 that may also be performed at the enduser premises device 120 in addition to flow diagram 400. At block 502,the one or more processors 220 may optionally be configured to predictwhat data client device 110 may access at a predicted future accesstime, or a third point in time. The one or more processors may make theprediction or rather, identify predicted data, based on the user'sactivity history at the client device 110, including timing of access,and other user information provided by the user at the client device110, such as, for example, location, demographic information, andinterests. For example, the activity history may indicate that aparticular news site is frequently accessed at or around 8 am onweekdays and a workout video is frequently accessed around 8 pm onweekdays. Based on this activity history, the predicted data may includesome content of the particular news site, such as background andforeground elements, with the predicted future access time of 8 am, andthe workout video with the predicted future access time of 8 pm.

At block 504, a fourth point in time may be determined for retrieval ofthe predicted data. During an off-peak time before the third point intime. In some cases, the fourth point in time may be determined similarto the first point in time as described above. The fourth point in timemay be determined to be the same as the first point in time or may bedifferent. The fourth point in time for retrieving the background andforeground elements of the particular news site may be at or around 4am, during the off-peak time during sleep hours and closer in time tothe 8 am predicted future access time. The fourth point in time forretrieving the workout video may be around 4:45 pm, during the off-peakworkday hours, the same time as the first point in time.

At block 506, the predicted data may be retrieved via the network 100 ata fourth point in time, and at block 508, the predicted data may bestored, or cached, in the memory. At block 510, when a user request fordata that is included in the predicted data is received from a clientdevice, the one or more processors 220 may access the memory 222 andtransmit the predicted data to the client device. For example, when theuser requests the particular news site using the client device 110, theone or more processors 220 of the end user premises device 120 maydetermine that the background and foreground elements of the particularnews site is already stored in memory 222 of the end user premisesdevice 120 and transmit the background and foreground elements directlyto the client device 110. Other elements and content of the particularnews site may be requested and received from the destination address atthe time of the user request.

FIG. 6 shows a flow diagram 600 that may be performed at the centralcontrol system 300. In some embodiments, the central control system 300may perform the time determinations and predictions described above. Thecentral control system 300 may also send instructions to nodes of thenetwork 100 to cause data retrieval according to the time determinationsand predictions.

At block 602, the one or more processors 310 of the central controlsystem 300 may receive a first user request for data. The first userrequest may identify data to be retrieved, such as using a destinationaddress, as described above in block 402. Using the same example asblock 402, the destination address may indicate a location in the memory242 of server 180. In some implementations, the first user request forthe data may be an aggregation of a plurality of user requests from aplurality of client devices for the same data. For example, a firstclient device and a second client device may request the same movie.These two separate requests may be aggregated and treated as the firstuser request.

At block 604, the one or more processors 310 may determine a first pointin time at which to retrieve the requested data. The first point in timemay be determined in a similar manner to that which is described abovein block 404, taking into account off-peak hours, a second point in timeat which the data will likely be accessed, and other factors. When thefirst client request is an aggregate of multiple client devices, thefirst point in time may be determined based on the likely future accesstime for each client device. For instance, the second point in time maybe determined by using the earliest likely future access time or byaveraging the likely future access times of the client devices.Continuing the example from block 602, the first client device may havea likely future access time of 7 pm, and the second client device mayhave a likely future access time of 8 pm. The second point in time maybe the earlier of the two, or 7 pm, or alternatively the second point intime may be the average of the two, or 7:30 pm.

At block 606, the one or more processors 310 may send instructions tothe network nodes to cause the data to be sent to the end user premisesdevice 120. In this example, the instructions may be transmit from thecentral control system 300 through the network 100 to server 180, wherethe destination address leads. In response, the one or more processors240 of server 180 may retrieve the data from the memory 242 and send thedata through the network 100 to end user premises device 120 for storagein memory 222 at the determined first point in time.

In some implementations, the one or more processors 310 may cause thepredicted and/or requested data to be broadcast to a plurality of enduser premises devices in the network 100. The one or more processors 310may broadcast the data to the plurality of end user premises devicesfrom a single station in the network 100, or may send the data to aplurality of end user premises devices from a plurality of stations. Theone or more processors 310 may use LTE Broadcast, also known as EvolvedMultimedia Broadcast Multicast Services (eMBMS)/_Mobile-BroadcastSingle-Frequency Network (MBSFN), or other known protocols.

For the first and second client devices that requested the same movie,the first client device may have access to a first end user premisesdevice, and the second client device may have access to a second enduser premises device. The one or more processors 310 may cause onestation, such as station 130, to multicast the requested movie at thefirst point in time to the first end user premises device and the secondend user premises device for storage. Alternatively, the one or moreprocessors 310 may cause a first station, such as station 130, totransmit the movie at the first point in time to the first end userpremises device, and a second station, such as station 150, to transmitthe movie at the first point in time to the second end user premisesdevice.

At block 608, the one or more processors 310 may predict what data aclient device or a plurality of client devices are likely to access. Theprediction may also include an indication of when the client device(s)will access the predicted data, such as a third point in time. For asingle client device, the one or more processors 310 may make theprediction based on the user's activity history at the client device 110and other user information provided by the user at the client device 110similar to the manner described in block 502. For the plurality ofclient devices, the one or more processors 310 may take into account thecommon activity history at each of the plurality of client devices andthe common user information provided at each of the plurality of clientdevices.

For example, for the first client device and the second client device,the one or more processors may determine that both the first clientdevice and the second client device are located in the same geographicarea, such as, for example, San Francisco, Calif. The one or moreprocessors 310 may predict that both the first client device and thesecond client device may access videos related to the local sports teamsand/or websites for local news agencies. The predicted data forretrieval for the plurality of client devices may therefore includerecent videos for the local sports teams and/or background andforeground elements for local news agencies' websites.

At block 610, the one or more processors 310 may determine a fourthpoint in time for retrieving the predicted data. The fourth point intime may be determined similar to the methods described above in blocks404 and 604. At block 612, the one or more processors 310 may sendadditional instructions related to retrieving the predicted data, asdescribed in block 604. In some cases, the one or more processors 310may broadcast the predicted data to a plurality of end user premisesdevices. For example, for data predicted based on a given geographicarea, the one or more processors 310 may broadcast the predicted data tothe end user premises devices in the same geographic area, such as thefirst end user premises device and the second end user premises device.

The features described may allow users to access content over a networkquicker. Because retrieval may be shifted to non-peak hours, networkcongestion during peak hours may be alleviated. When non-peak hourscorrespond to daytime work hours, solar-powered network nodes may beable to conserve battery and therefore operate for longer periods oftime in the evening. More people may be able to access requested dataduring peak hours since at least some of the data may already be storedat the end user premises device. In addition, content retrieved for aparticular user or demographic may be personalized. Since content may bepre-stored at the end user premises device, the risk of outages may bereduced.

Unless otherwise stated, the foregoing alternative examples are notmutually exclusive, but may be implemented in various combinations toachieve unique advantages. As these and other variations andcombinations of the features discussed above can be utilized withoutdeparting from the subject matter defined by the claims, the foregoingdescription of the embodiments should be taken by way of illustrationrather than by way of limitation of the subject matter defined by theclaims. In addition, the provision of the examples described herein, aswell as clauses phrased as “such as,” “including” and the like, shouldnot be interpreted as limiting the subject matter of the claims to thespecific examples; rather, the examples are intended to illustrate onlyone of many possible embodiments. Further, the same reference numbers indifferent drawings can identify the same or similar elements.

1. An end user premises device comprising: a memory; one or moretransceivers configured to communicate with one or more stations in anetwork and a client device; and one or more processors configured to:receive a first user request for data from the client device using theone or more transceivers; determine a first point in time for retrievingthe data based on an amount of charge in batteries of the one or morestations in the network; retrieve, at the first point in time, the datafrom a remote server via the network using the one or more transceivers;store the data in the memory; and in response to a second user request,transmit the data to the client device using the one or moretransceivers.
 2. The end user premises device of claim 1, wherein theone or more stations have limited power supply.
 3. The end user premisesdevice of claim 1, wherein the first point in time is chosen to beduring time frames when the amount of charge in batteries of the one ormore stations are above a threshold amount.
 4. The end user premisesdevice of claim 1, wherein the one or more stations are solar-poweredhigh altitude platform (HAP) stations.
 5. The end user premises deviceof claim 4, wherein when the amount of charge in batteries drops below athreshold amount, the one or more stations enter a conservation modeuntil the batteries are charged.
 6. The end user premises device ofclaim 1, wherein the one or more processors are further configured todetermine that the second user request includes a request for the datastored in the memory.
 7. The end user premises device of claim 1,wherein the first point in time is during off-peak hours and before asecond point in time that the client device is likely to access thedata.
 8. The end user premises device of claim 7, wherein the one ormore processors are further configured to: predict additional data thatis likely to be accessed by the client device at a third point in time;retrieve, at a fourth point in time before the third point in time, theadditional data from the remote server via the network using the one ormore transceivers; store the additional data in the memory; and inresponse to a third user request, transmit the additional data to theclient device using the one or more transceivers.
 9. The end userpremises device of claim 8, wherein the one or more processors arefurther configured to determine the second point in time based on anaccess time included in the first user request.
 10. The end userpremises device of claim 8, wherein the one or more processors arefurther configured to determine the second point in time based on anactivity history at the client device.
 11. A network comprising: an enduser premises device that includes: a memory; one or more transceiversconfigured to communicate with one or more stations in the network and aclient device; and one or more processors configured to: receive a firstuser request for data from the client device using the one or moretransceivers; determine a first point in time for retrieving the databased on an amount of charge in batteries of the one or more stations inthe network; retrieve, at the first point in time, the data from aremote server via the network using the one or more transceivers; storethe data in the memory; and in response to a second user request,transmit the data to the client device using the one or moretransceivers.
 12. The network of claim 11, wherein the one or morestations have limited power supply.
 13. The network of claim 11, whereinthe first point in time is chosen to be during time frames when theamount of charge in batteries of the one or more stations are above athreshold amount.
 14. The network of claim 11, wherein the one or morestations are solar-powered high altitude platform (HAP) stations. 15.The network of claim 14, wherein when the amount of charge in batteriesdrops below a threshold amount, the one or more stations enter aconservation mode until the batteries are charged.
 16. The network ofclaim 11, wherein the one or more processors are further configured todetermine that the second user request includes a request for the datastored in the memory.
 17. The network of claim 11, wherein the firstpoint in time is during off-peak hours and before a second point in timethat the client device is likely to access the data.
 18. The network ofclaim 17, wherein the one or more processors are further configured to:predict additional data that is likely to be accessed by the clientdevice at a third point in time; retrieve, at a fourth point in timebefore the third point in time, the additional data from the remoteserver via the network using the one or more transceivers; store theadditional data in the memory; and in response to a third user request,transmit the additional data to the client device using the one or moretransceivers.
 19. A method comprising: receiving, by one or moreprocessors at an end user premises device, a first user request for datafrom a client device; determining, by the one or more processors, afirst point in time for retrieving the data based on an amount of chargein batteries of the one or more stations in the network; retrieving, bythe one or more processors, the data from a remote server via thenetwork at the first point in time; storing, by the one or moreprocessors, the data in a memory of the end user premises device; and inresponse to a second user request, transmitting, by the one or moreprocessors, the data to the client device.
 20. The method of claim 19,wherein the first point in time is during off-peak hours and before asecond point in time that the client device is likely to access thedata.